Screen Time, Internet Use, and Lifestyle Habits Among Health and Engineering Students: A Cross-Sectional Study

Year 2026, Volume: 13 Issue: 1 , 92 - 110 , 30.04.2026

Neslişah Rakıcıoğlu , Rümeysa Yeniçağ Emre , Damla Dedebayraktar

https://doi.org/10.21020/husbfd.1822676

https://izlik.org/JA34PM82SK

Abstract

Objectives: This cross-sectional study explored the associations between total screen time, internet addiction, and adherence to healthy lifestyle habits among university students.
Material and Methods: The study was conducted with 818 volunteer students (250 males and 568 females; mean age 21.7±1.85 years) enrolled in the engineering and health sciences departments at a public university in Türkiye. Participants were recruited through face-to-face data collection using a convenience sampling approach. Data were collected using Young's Internet Addiction Test-Short Form, Pittsburgh Sleep Quality Index, and Healthy Diet Indicator-2015. Ethical approval was granted by the Hacettepe University Ethics Committee.
Results: Engineering students had significantly higher total screen time than health sciences students (7.2±3.4 vs 5.9±2.5 h/day; p<0.001). Across both faculties, most students (approximately 81-86%) were classified as "normal" internet users, while the problematic and pathological use was observed in 14-19%. Poor sleep quality was reported by about 51-53% of students in both groups, and more than 55% of the total sample slept less than 7 hours per night. Low adherence to healthy diet recommendations was common across faculties (approximately 85-88%), with no significant differences between groups. Total screen time was positively associated with internet addiction scores, poorer sleep quality, body mass index (BMI), and waist circumference (p<0.05).
Conclusion: High screen exposure, inadequate sleep quality, physical inactivity, and poor diet quality were prevalent among university students. These findings emphasize the need for targeted interventions, such as sleep hygiene education, screen time awareness programs, and lifestyle-focused health promotion strategies, to support healthier behaviors in this population.

Keywords

university students , Young's internet addiction test , Pittsburg sleep quality index , healthy diet indicator , anthropometric measurements

References

• Agargun, M., Kara, H., & Anlar, O. (1996). The validity and reliability of the Pittsburgh Sleep Quality Index. Turkish Journal of Psychiatry, 7(2), 107-115.
• Al Khenaizi, A. K., Shakeeb, F. N., Fredericks, S., & Gaynor, D. (2025). Physical activity levels, recreational screen time, sleep quality and mood among young adult healthcare students at an international university in Bahrain: a cross-sectional study. BMJ open, 15(5): e093655. https://doi.org/10.1136/bmjopen-2024-093655.
• Al-Amin, M., Rinky, F., Nizamul Hoque Bhuiyan, M., Yeasmin, R., Akter, T., Hoque, N., Reza, S. (2025). Factors influencing mental health outcomes among university students: a cross-sectional study in Bangladesh. BMJ Open, 15:e097745. https://doi.org/10.1136/bmjopen-2024-097745.
• Al-Qahtani, A. M. (2022). Lifestyle habits among Najran University students, Najran, Saudi Arabia. Frontiers in Public Health, 10, 938062. https://doi.org/10.3389/fpubh.2022.938062.
• Aguilera-Hermida, A. P.(2020). College students’ use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open, 1:100011. https://doi.org/10.1016/j.ijedro.2020.100011.
• Bebis (Beslenme Bilgi Sistemi). (2017). Nutrition database software: The German Food Code and Nutrient Database with additions from USDA-sr and other sources [Computer software].
• Benaich, S., Mehdad, S., Andaloussi, Z., Boutayeb, S., Alamy, M., Aguenaou, H., & Taghzouti, K. (2021). Weight status, dietary habits, physical activity, screen time and sleep duration among university students. Nutrition and Health, 27(1), 69-78. https://doi.org/10.1177/0260106020960863.
• Boozari, B., Saneei, P., & Safavi, S. M. (2021). Association between sleep duration and sleep quality with sugar and sugar-sweetened beverages intake among university students. Sleep and Breathing, 25(2), 649-656. https://doi.org/10.1007/s11325-020-02155-5.
• Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193-213. https://doi.org/10.1016/0165-1781(89)90047-4.
• Castro, O., Bennie, J., Vergeer, I., Bosselut, G., & Biddle, S. J. H. (2020). How sedentary are university students? A systematic review and meta-analysis. Prevention Science, 21(3), 332-343. https://doi.org/10.1007/s11121-020-01093-8.
• Dang, A. K., Nathan, N., Le, Q. N. H., Nguyen, L. H., Nguyen, H. L. T., Nguyen, C. T., Do, H. P., Nguyen, T. H. T., Tran, T. T., Nguyen, T. A., Tran, B. X., Latkin, C. A., Zhang, M. W. B., & Ho, R. C. M. (2018). Associations between internet addiction and physical activity among Vietnamese youths and adolescents. Children and Youth Services Review, 93, 36-40. https://doi.org/10.1016/j.childyouth.2018.06.030.
• Delicado-Soria, A., Serrano-Urrea, R., Cervera-Burriel, F., Daouas, T., & García-Meseguer, M. J. (2021). Food consumption in Tunisian university students and its association with sociodemographic characteristics and lifestyle behaviours. Public Health Nutrition, 24(15), 4949-4964. https://doi.org/10.1017/s1368980020004942.
• Detopoulou, P., Dedes, V., Syka, D., Tzirogiannis, K., & Panoutsopoulos, G. I. (2022). Mediterranean diet, a posteriori dietary patterns, time-related meal patterns and adiposity: Results from a cross-sectional study in university students. Diseases, 10(3), 64. https://doi.org/10.3390/diseases10030064.
• Ekenler, G., & Altınel, B. (2021). Investigation of the Relationship Between Sleep Quality and Academic Achievement in Nursing Students. Online Turkish Journal of Health Sciences, 6(4):575-582.
• Elarbaoui, M., Jafri, A., Makhlouki, H., Ellahi, B., & Derouiche, A. (2022). Supply of energy and selected nutrients in meals consumed by Moroccan students at home and on a university campus. Rocznik Państwowego Zakładu Higieny, 73 (3), 285-291. https://doi.org/10.32394/rpzh.2022.0225.
• Godos, J., Grosso, G., Castellano, S., Galvano, F., Caraci, F., & Ferri, R. (2021). Association between diet and sleep quality: A systematic review. Sleep Medicine Reviews, 57, 101430. https://doi.org/10.1016/j.smrv.2021.101430.
• Hashemi, Y., Zarani, F., Heidari, M., & Borhani, K. 2022. Purposes of internet use among Iranian university students: exploring its relationship with social networking site (SNS) addiction. BMC Psychology, 10(1), 80. https://doi.org/10.1186/s40359-022-00745-4.
• Hassan, A., & Ahmed, E. (2020). Impact of Internet Addiction on Lifestyle and Dietary Habits of Secondary School Adolescents. American Journal of Nursing Research, 8(2), 263-268. https://doi.org/10.12691/ajnr-8-2-15.
• International Telecommunication Union (ITU) (2022, November 30). Measuring digital development facts and figures 2022. https://www.itu.int/en/ITU-D/Statistics/Pages/facts/default.aspx.
• Ishaq, F., Khan, R., Dar, M., Basharat, S., Ali, M., Yameen, Z., Rana, A. I., Ashraf, M., Abbas, A., & Zahid, S. (2020). Assessment of eating habits and knowledge regarding daily nutritional requirements among university students. Journal of Nutritional Health & Food Engineering, 10(1), 38-41. https://doi.org/10.15406/jnhfe.2020.10.00343.
• Kamran, H., Afreen, A., & Ahmed, Z. (2018). Effect of Internet Addiction on Dietary Behavior and Lifestyle Characteristics Among University Students. Annals of King Edward Medical University, 24, 836-841. https://doi.org/10.21649/akemu.v24iS.2518.
• Kanauchi, M., & Kanauchi, K. (2018). The World Health Organization's Healthy Diet Indicator and its associated factors: A cross-sectional study in central Kinki, Japan. Preventive Medicine Reports, 12, 198-202. https://doi.org/10.1016/j.pmedr.2018.09.011.
• Kaya, A., & Dalgıç, A. I. (2021). How does Internet Addiction Affect Adolescent Lifestyles? Results from a School-Based Study in the Mediterranean Region of Turkey. Journal of Pediatric Nursing, 59, e38-e43. https://doi.org/10.1016/j.pedn.2021.01.021.
• Kim, Y., Lee, N., & Lim, Y. (2017). Gender differences in the association of smartphone addiction with food group consumption among Korean adolescents. Public Health, 145, 132-135. https://doi.org/10.1016/j.puhe.2016.12.026.
• Kutlu, M., Savci, M., Demir, Y., & Aysan, F. (2016). Turkish adaptation of Young's Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents. Anatolian Journal of Psychiatry, 17(Suppl.1), 69-76. https://doi.org/10.5455/apd.202454.
• Lohman, T., Roche, A. F., & Martorell, R. (Eds). (1988). Anthropometric Standardization Reference Manual. Champaign, Ill: Human Kinetics Books.
• Pawlikowski, M., Altstötter-Gleich, C., & Brand, M. (2013). Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 29(3), 1212-1223. https://doi.org/10.1016/j.chb.2012.10.014.
• Pengpid, S., & Peltzer, K. (2020). Skipping Breakfast and Its Association with Health Risk Behaviour and Mental Health Among University Students in 28 Countries. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 13:2889-97. https://doi.org/10.2147/dmso.S241670.
• Pop, L.-M., Iorga, M., Muraru, I.-D., & Petrariu, F.-D. (2021). Assessment of Dietary Habits, Physical Activity and Lifestyle in Medical University Students. Sustainability, 13(6), 3572. https://doi.org/10.3390/su13063572.
• Rakıcıoğlu, N., Tek, A. N., Ayaz, A., & Pekcan, G. (2022). Photograph Catalog of Food and Dishes: Portion Sizes and Amounts. 8th ed. Ankara: Merdiven Publication.
• Saha, S., Al Mamun, M. A., & Kabir, M. R. (2022). Factors Affecting Fast Food Consumption among College Students in South Asia: A Systematic Review. Journal of the American Nutrition Association, 41(6), 626-636. https://doi.org/10.1080/07315724.2021.1940354.
• Tabares-Tabares, M., Moreno Aznar, L. A., Aguilera-Cervantes, V. G., León-Landa, E., & López-Espinoza, A. (2022). Screen use during food consumption: Does it cause increased food intake? A systematic review. Appetite, 171, 105928. https://doi.org/10.1016/j.appet.2022.105928.
• Templeton, G. (2011). A Two-Step Approach for Transforming Continuous Variables to Normal: Implications and Recommendations for IS Research. Communications of the Association for Information Systems, 28(1), 41-58. https://doi.org/10.17705/1CAIS.02804.
• Tokiya, M., Itani, O., Otsuka, Y., & Kaneita, Y. (2020). Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study. BMC Pediatrics, 20(1), 379. https://doi.org/10.1186/s12887-020-02275-7.
• Turkish Statistical Institute (TSI) (2022). Survey on information and communication technology (ICT) usage in households and by individuals. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2022-45587.
• Voss, C., Shorter, P., Mueller-Coyne, J., & Turner, K. (2023). Screen time, phone usage, and social media usage: Before and during the COVID-19 pandemic. Digital Health, 9, 20552076231171510. https://doi.org/10.1177/20552076231171510.
• World Health Organization (WHO). (2011). Waist circumference and waist-hip ratio: report of a WHO expert consultation. https://www.who.int/publications/i/item/9789241501491.
• Wu, X., Tao, S., Zhang, Y., Zhang, S., & Tao, F. (2015). Low physical activity and high screen time can increase the risks of mental health problems and poor sleep quality among Chinese college students. PloS one, 10(3), e0119607. https://doi.org/10.1371/journal.pone.0119607.
• Yamamoto, R., Tomi, R., Shinzawa, M., Yoshimura, R., Ozaki, S., Nakanishi, K., Ide, S., Nagatomo, I., Nishida, M., Yamauchi-Takihara, K., Kudo, T., & Moriyama, T. (2021). Associations of Skipping Breakfast, Lunch, and Dinner with Weight Gain and Overweight/Obesity in University Students: A Retrospective Cohort Study. Nutrients, 13(1), 271. https://doi.org/10.3390/nu13010271.
• Yoo, E. G. (2016). Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk. Korean Journal of Pediatrics, 59(11), 425-431. https://doi.org/10.3345/kjp.2016.59.11.425.
• Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior, 1(3), 237-244. https://doi.org/10.1089/cpb.1998.1.237.
• Zafar, A., Rasheed, S., Altaf, Y., Hayee, A., Akhtar, S.K., Subhani, M.A. (2023). The influence of screen time to sleep quality and health of university students. Rawal Medical Journal, 48(4): 1053-1055.